Triple

T4785222
Position Surface form Disambiguated ID Type / Status
Subject LIS E106458 entity
Predicate hasPassengerTerminal P1297 FINISHED
Object Terminal 1
Terminal 1 is the main passenger terminal at Lisbon Airport, handling the majority of the airport’s commercial flights and services.
 E128996 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Terminal 1 | Statement: [LIS, hasPassengerTerminal, Terminal 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal 1
Context triple: [LIS, hasPassengerTerminal, Terminal 1]
  • A. Terminal 1
    Terminal 1 is one of the passenger terminals at Los Angeles International Airport, primarily serving domestic flights for several major U.S. airlines.
  • B. Terminal 1
    Terminal 1 is a passenger terminal at San Francisco International Airport that serves as one of the airport’s main facilities for airline check-in, security, and boarding.
  • C. Terminal 1
    Terminal 1 is one of the main passenger terminals at San Diego International Airport, serving various domestic airline operations and traveler amenities.
  • D. Terminal 1
    Terminal 1 is one of the passenger terminals at Raleigh–Durham International Airport, serving as a primary facility for airline check-in, security screening, and boarding.
  • E. Terminal 1
    Terminal 1 is the main passenger terminal at Geneva Airport, handling the majority of the airport’s commercial flights and services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terminal 1
Triple: [LIS, hasPassengerTerminal, Terminal 1]
Generated description
Terminal 1 is the main passenger terminal at Lisbon Airport, handling the majority of the airport’s commercial flights and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terminal 1
Target entity description: Terminal 1 is the main passenger terminal at Lisbon Airport, handling the majority of the airport’s commercial flights and services.
  • A. Terminal 1 chosen
    Terminal 1 is the main passenger terminal at Lisbon’s Humberto Delgado Airport, handling the majority of the airport’s flights and services.
  • B. Terminal 1
    Terminal 1 is the main passenger terminal at Lanzarote Airport, handling the majority of the island’s commercial flights and traveler services.
  • C. Terminal 1
    Terminal 1 is the main passenger terminal at Geneva Airport, handling the majority of the airport’s commercial flights and services.
  • D. Terminal 1
    Terminal 1 is the main passenger terminal at Berlin Brandenburg Airport, handling the majority of the airport’s check-in, security, and boarding operations.
  • E. Terminal 1
    Terminal 1 is the main passenger terminal at Brussels South Charleroi Airport, handling the majority of the airport’s commercial flights and traveler services.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65b0ea408190b348d917883381de completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43dbdec88190817845e7930a18f6 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be447c21d48190ab57c8761e733ff4 completed March 21, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69be45f5ebec8190b62c428b465d1bd9 completed March 21, 2026, 7:17 a.m.
Created at: March 20, 2026, 1:22 p.m.